Codebook

library(labelled)
library(codebook)
library(tidyverse)
knitr::opts_chunk$set(
  warning = FALSE, # show warnings during codebook generation
  message = FALSE, # show messages during codebook generation
  error = TRUE, # do not interrupt codebook generation in case of errors,
                # usually makes debugging easier, and sometimes half a codebook
                # is better than none
  echo = FALSE  # don't show the R code
)
ggplot2::theme_set(ggplot2::theme_bw())

Load data

Codebook

Metadata

Description

Dataset name: vcs

The dataset has N=2241 rows and 21 columns. 969 rows have no missing values on any column.

Metadata for search engines

• Date published: 2020-06-26

x voice_id dataset sex age f0 f1 f2 f3 f4 pf neuro extra openn agree consc dominance behavior attitude desire soi_full sex_c

#Variables

voice_id

Distribution

Distribution of values for voice_id

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
voice_id	numeric	0	1	1	1121	2241	1121	647.0653	▇▇▇▇▇	NA

dataset

Distribution

Distribution of values for dataset

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
dataset	numeric	0	1	1	4	11	4.531905	2.864653	▇▃▃▂▁	NA

sex

Sex

Distribution

Distribution of values for sex

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
sex	Sex	haven_labelled	0	1	-1	-1	1	-0.1726908	0.9851959	2	▇▁▁▁▁▁▁▆

Value labels

Response choices

name	value
male	1
female	-1

age

Age

Distribution

Distribution of values for age

137 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
age	Age	numeric	137	0.9388666	18	23	56	24.452	6.138718	▇▂▁▁▁

f0

Voice pitch

Distribution

Distribution of values for f0

7 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
f0	Voice pitch	numeric	7	0.9968764	-1.8	0.39	2.6	0	1	▇▂▇▆▁

f1

Distribution

Distribution of values for f1

4 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
f1	numeric	4	0.9982151	-2.2	0.043	6.3	0.0768794	0.933567	▃▇▁▁▁	NA

f2

Distribution

Distribution of values for f2

4 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
f2	numeric	4	0.9982151	-2.7	0.15	3.3	0.157386	0.6133858	▁▃▇▁▁	NA

f3

Distribution

Distribution of values for f3

4 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
f3	numeric	4	0.9982151	-2.3	0.17	3.2	0.0206923	0.9984842	▃▆▇▃▁	NA

f4

Distribution

Distribution of values for f4

4 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
f4	numeric	4	0.9982151	-2.8	0.23	4.5	0.0333869	0.999722	▂▆▇▁▁	NA

pf

Formants

Distribution

Distribution of values for pf

4 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
pf	Formants	numeric	4	0.9982151	-1.4	0.11	4	0.0720862	0.7185612	▆▇▃▁▁

neuro

Neuroticism

Distribution

Distribution of values for neuro

802 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
neuro	Neuroticism	numeric	802	0.6421241	-2.4	-0.076	2.6	0	1	▂▆▇▅▂

extra

Extraversion

Distribution

Distribution of values for extra

803 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
extra	Extraversion	numeric	803	0.6416778	-3.2	0.036	2.2	0	1	▁▃▇▇▃

openn

Openness

Distribution

Distribution of values for openn

802 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
openn	Openness	numeric	802	0.6421241	-4	0.072	2.1	0	1	▁▁▅▇▃

agree

Agreeableness

Distribution

Distribution of values for agree

802 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
agree	Agreeableness	numeric	802	0.6421241	-4.2	0.069	2.2	0	1	▁▁▅▇▃

consc

Conscientiousness

Distribution

Distribution of values for consc

802 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
consc	Conscientiousness	numeric	802	0.6421241	-3.6	0.084	2.2	0	1	▁▂▇▇▃

dominance

Dominance

Distribution

Distribution of values for dominance

1256 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
dominance	Dominance	numeric	1256	0.4395359	-3.8	0.037	2.7	0	1	▁▂▇▇▂

behavior

Distribution

Distribution of values for behavior

242 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
behavior	numeric	242	0.8920125	-1.1	-0.14	2.8	0	1	▇▃▃▂▁	NA

attitude

Distribution

Distribution of values for attitude

239 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
attitude	numeric	239	0.8933512	-2	0.13	1.4	0	1	▃▃▆▆▇	NA

desire

Distribution

Distribution of values for desire

238 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
desire	numeric	238	0.8937974	-1.8	0.0041	2.2	0	1	▅▆▇▆▂	NA

soi_full

Unrestricted sociosexuality

Distribution

Distribution of values for soi_full

243 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
soi_full	Unrestricted sociosexuality	numeric	243	0.8915663	-2.2	0.0072	2.7	0	1	▃▆▇▅▁

sex_c

Distribution

Distribution of values for sex_c

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
sex_c	numeric	0	1	-1	-1	1	-0.1726908	0.9851959	▇▁▁▁▆	NA

Missingness report

Codebook table

JSON-LD metadata

The following JSON-LD can be found by search engines, if you share this codebook publicly on the web.

{
  "name": "vcs",
  "datePublished": "2020-06-26",
  "description": "The dataset has N=2241 rows and 21 columns.\n969 rows have no missing values on any column.\n\n\n## Table of variables\nThis table contains variable names, labels, and number of missing values.\nSee the complete codebook for more.\n\n|name      |label                       | n_missing|\n|:---------|:---------------------------|---------:|\n|voice_id  |NA                          |         0|\n|dataset   |NA                          |         0|\n|sex       |Sex                         |         0|\n|age       |Age                         |       137|\n|f0        |Voice pitch                 |         7|\n|f1        |NA                          |         4|\n|f2        |NA                          |         4|\n|f3        |NA                          |         4|\n|f4        |NA                          |         4|\n|pf        |Formants                    |         4|\n|neuro     |Neuroticism                 |       802|\n|extra     |Extraversion                |       803|\n|openn     |Openness                    |       802|\n|agree     |Agreeableness               |       802|\n|consc     |Conscientiousness           |       802|\n|dominance |Dominance                   |      1256|\n|behavior  |NA                          |       242|\n|attitude  |NA                          |       239|\n|desire    |NA                          |       238|\n|soi_full  |Unrestricted sociosexuality |       243|\n|sex_c     |NA                          |         0|\n\n### Note\nThis dataset was automatically described using the [codebook R package](https://rubenarslan.github.io/codebook/) (version 0.9.3).",
  "keywords": ["voice_id", "dataset", "sex", "age", "f0", "f1", "f2", "f3", "f4", "pf", "neuro", "extra", "openn", "agree", "consc", "dominance", "behavior", "attitude", "desire", "soi_full", "sex_c"],
  "@context": "http://schema.org/",
  "@type": "Dataset",
  "variableMeasured": [
    {
      "name": "voice_id",
      "@type": "propertyValue"
    },
    {
      "name": "dataset",
      "@type": "propertyValue"
    },
    {
      "name": "sex",
      "description": "Sex",
      "value": "1. male,\n-1. female",
      "maxValue": 1,
      "minValue": -1,
      "@type": "propertyValue"
    },
    {
      "name": "age",
      "description": "Age",
      "@type": "propertyValue"
    },
    {
      "name": "f0",
      "description": "Voice pitch",
      "@type": "propertyValue"
    },
    {
      "name": "f1",
      "@type": "propertyValue"
    },
    {
      "name": "f2",
      "@type": "propertyValue"
    },
    {
      "name": "f3",
      "@type": "propertyValue"
    },
    {
      "name": "f4",
      "@type": "propertyValue"
    },
    {
      "name": "pf",
      "description": "Formants",
      "@type": "propertyValue"
    },
    {
      "name": "neuro",
      "description": "Neuroticism",
      "@type": "propertyValue"
    },
    {
      "name": "extra",
      "description": "Extraversion",
      "@type": "propertyValue"
    },
    {
      "name": "openn",
      "description": "Openness",
      "@type": "propertyValue"
    },
    {
      "name": "agree",
      "description": "Agreeableness",
      "@type": "propertyValue"
    },
    {
      "name": "consc",
      "description": "Conscientiousness",
      "@type": "propertyValue"
    },
    {
      "name": "dominance",
      "description": "Dominance",
      "@type": "propertyValue"
    },
    {
      "name": "behavior",
      "@type": "propertyValue"
    },
    {
      "name": "attitude",
      "@type": "propertyValue"
    },
    {
      "name": "desire",
      "@type": "propertyValue"
    },
    {
      "name": "soi_full",
      "description": "Unrestricted sociosexuality",
      "@type": "propertyValue"
    },
    {
      "name": "sex_c",
      "@type": "propertyValue"
    }
  ]
}`

Gender differences

Age trends

## Warning: This plot can't be further modified with `ggplot2` functions.
## In case you want a `ggplot` object, set `marginal = FALSE`.

## Warning: This plot can't be further modified with `ggplot2` functions.
## In case you want a `ggplot` object, set `marginal = FALSE`.

## Warning: This plot can't be further modified with `ggplot2` functions.
## In case you want a `ggplot` object, set `marginal = FALSE`.

## Warning: This plot can't be further modified with `ggplot2` functions.
## In case you want a `ggplot` object, set `marginal = FALSE`.

## Warning: This plot can't be further modified with `ggplot2` functions.
## In case you want a `ggplot` object, set `marginal = FALSE`.

## Warning: This plot can't be further modified with `ggplot2` functions.
## In case you want a `ggplot` object, set `marginal = FALSE`.

## Warning: This plot can't be further modified with `ggplot2` functions.
## In case you want a `ggplot` object, set `marginal = FALSE`.

## Warning: This plot can't be further modified with `ggplot2` functions.
## In case you want a `ggplot` object, set `marginal = FALSE`.

## Warning: This plot can't be further modified with `ggplot2` functions.
## In case you want a `ggplot` object, set `marginal = FALSE`.

## Warning: This plot can't be further modified with `ggplot2` functions.
## In case you want a `ggplot` object, set `marginal = FALSE`.

Correlations

##       sex_c   age    pf    f0    f1    f2    f3    f4
## sex_c  1.00  0.20 -0.78 -0.93 -0.25 -0.64 -0.80 -0.82
## age    0.20  1.00 -0.04 -0.23  0.06  0.00 -0.08 -0.08
## pf    -0.78 -0.04  1.00  0.74  0.61  0.80  0.92  0.90
## f0    -0.93 -0.23  0.74  1.00  0.25  0.60  0.76  0.77
## f1    -0.25  0.06  0.61  0.25  1.00  0.27  0.35  0.30
## f2    -0.64  0.00  0.80  0.60  0.27  1.00  0.73  0.70
## f3    -0.80 -0.08  0.92  0.76  0.35  0.73  1.00  0.86
## f4    -0.82 -0.08  0.90  0.77  0.30  0.70  0.86  1.00

##           sex_c   age neuro extra openn agree consc dominance behavior attitude
## sex_c      1.00  0.20 -0.25 -0.07 -0.02 -0.10 -0.10     -0.03    -0.01     0.19
## age        0.20  1.00 -0.12 -0.04  0.05  0.09  0.15     -0.13     0.29     0.03
## neuro     -0.25 -0.12  1.00 -0.24 -0.04 -0.19 -0.25     -0.33    -0.09    -0.08
## extra     -0.07 -0.04 -0.24  1.00  0.28  0.16  0.24      0.51     0.21     0.07
## openn     -0.02  0.05 -0.04  0.28  1.00  0.07  0.11      0.11     0.05     0.02
## agree     -0.10  0.09 -0.19  0.16  0.07  1.00  0.25     -0.22     0.01    -0.10
## consc     -0.10  0.15 -0.25  0.24  0.11  0.25  1.00      0.20     0.05    -0.14
## dominance -0.03 -0.13 -0.33  0.51  0.11 -0.22  0.20      1.00     0.13     0.13
## behavior  -0.01  0.29 -0.09  0.21  0.05  0.01  0.05      0.13     1.00     0.47
## attitude   0.19  0.03 -0.08  0.07  0.02 -0.10 -0.14      0.13     0.47     1.00
## desire     0.31  0.09 -0.07  0.05  0.06 -0.05 -0.09      0.02     0.31     0.41
## soi_full   0.21  0.17 -0.10  0.15  0.06 -0.06 -0.08      0.13     0.76     0.83
##           desire soi_full
## sex_c       0.31     0.21
## age         0.09     0.17
## neuro      -0.07    -0.10
## extra       0.05     0.15
## openn       0.06     0.06
## agree      -0.05    -0.06
## consc      -0.09    -0.08
## dominance   0.02     0.13
## behavior    0.31     0.76
## attitude    0.41     0.83
## desire      1.00     0.73
## soi_full    0.73     1.00

##           sex_c   age    f0    f1    f2    f3    f4    pf neuro extra openn
## sex_c      1.00  0.20 -0.93 -0.25 -0.64 -0.80 -0.82 -0.78 -0.25 -0.07 -0.02
## age        0.20  1.00 -0.23  0.06  0.00 -0.08 -0.08 -0.04 -0.12 -0.04  0.05
## f0        -0.93 -0.23  1.00  0.25  0.60  0.76  0.77  0.74  0.27  0.03 -0.02
## f1        -0.25  0.06  0.25  1.00  0.27  0.35  0.30  0.61 -0.02  0.07  0.05
## f2        -0.64  0.00  0.60  0.27  1.00  0.73  0.70  0.80  0.13  0.06  0.02
## f3        -0.80 -0.08  0.76  0.35  0.73  1.00  0.86  0.92  0.16  0.09  0.05
## f4        -0.82 -0.08  0.77  0.30  0.70  0.86  1.00  0.90  0.19  0.08  0.02
## pf        -0.78 -0.04  0.74  0.61  0.80  0.92  0.90  1.00  0.15  0.10  0.04
## neuro     -0.25 -0.12  0.27 -0.02  0.13  0.16  0.19  0.15  1.00 -0.24 -0.04
## extra     -0.07 -0.04  0.03  0.07  0.06  0.09  0.08  0.10 -0.24  1.00  0.28
## openn     -0.02  0.05 -0.02  0.05  0.02  0.05  0.02  0.04 -0.04  0.28  1.00
## agree     -0.10  0.09  0.07 -0.04  0.10  0.15  0.11  0.10 -0.19  0.16  0.07
## consc     -0.10  0.15  0.05  0.04  0.13  0.15  0.12  0.14 -0.25  0.24  0.11
## dominance -0.03 -0.13  0.01 -0.02 -0.04 -0.03 -0.01 -0.03 -0.33  0.51  0.11
## behavior  -0.01  0.29 -0.03 -0.01  0.05  0.03  0.03  0.03 -0.09  0.21  0.05
## attitude   0.19  0.03 -0.19 -0.11 -0.19 -0.18 -0.16 -0.19 -0.08  0.07  0.02
## desire     0.31  0.09 -0.31 -0.10 -0.23 -0.23 -0.25 -0.25 -0.07  0.05  0.06
## soi_full   0.21  0.17 -0.23 -0.09 -0.16 -0.16 -0.16 -0.18 -0.10  0.15  0.06
##           agree consc dominance behavior attitude desire soi_full
## sex_c     -0.10 -0.10     -0.03    -0.01     0.19   0.31     0.21
## age        0.09  0.15     -0.13     0.29     0.03   0.09     0.17
## f0         0.07  0.05      0.01    -0.03    -0.19  -0.31    -0.23
## f1        -0.04  0.04     -0.02    -0.01    -0.11  -0.10    -0.09
## f2         0.10  0.13     -0.04     0.05    -0.19  -0.23    -0.16
## f3         0.15  0.15     -0.03     0.03    -0.18  -0.23    -0.16
## f4         0.11  0.12     -0.01     0.03    -0.16  -0.25    -0.16
## pf         0.10  0.14     -0.03     0.03    -0.19  -0.25    -0.18
## neuro     -0.19 -0.25     -0.33    -0.09    -0.08  -0.07    -0.10
## extra      0.16  0.24      0.51     0.21     0.07   0.05     0.15
## openn      0.07  0.11      0.11     0.05     0.02   0.06     0.06
## agree      1.00  0.25     -0.22     0.01    -0.10  -0.05    -0.06
## consc      0.25  1.00      0.20     0.05    -0.14  -0.09    -0.08
## dominance -0.22  0.20      1.00     0.13     0.13   0.02     0.13
## behavior   0.01  0.05      0.13     1.00     0.47   0.31     0.76
## attitude  -0.10 -0.14      0.13     0.47     1.00   0.41     0.83
## desire    -0.05 -0.09      0.02     0.31     0.41   1.00     0.73
## soi_full  -0.06 -0.08      0.13     0.76     0.83   0.73     1.00